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Python: restructure: Python samples into progressive 01-05 layout (#3862)
* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure
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# Copyright (c) Microsoft. All rights reserved.
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"""Client application for interacting with a Durable Task hosted agent.
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This client connects to the Durable Task Scheduler and sends requests to
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registered agents, demonstrating how to interact with agents from external processes.
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Prerequisites:
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- The worker must be running with the agent registered
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- Set AZURE_OPENAI_ENDPOINT and AZURE_OPENAI_CHAT_DEPLOYMENT_NAME
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(plus AZURE_OPENAI_API_KEY or Azure CLI authentication)
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- Durable Task Scheduler must be running
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"""
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import asyncio
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import logging
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import os
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from agent_framework.azure import DurableAIAgentClient
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from azure.identity import DefaultAzureCredential
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from durabletask.azuremanaged.client import DurableTaskSchedulerClient
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# Configure logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def get_client(
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taskhub: str | None = None,
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endpoint: str | None = None,
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log_handler: logging.Handler | None = None
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) -> DurableAIAgentClient:
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"""Create a configured DurableAIAgentClient.
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Args:
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taskhub: Task hub name (defaults to TASKHUB env var or "default")
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endpoint: Scheduler endpoint (defaults to ENDPOINT env var or "http://localhost:8080")
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log_handler: Optional logging handler for client logging
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Returns:
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Configured DurableAIAgentClient instance
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"""
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taskhub_name = taskhub or os.getenv("TASKHUB", "default")
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endpoint_url = endpoint or os.getenv("ENDPOINT", "http://localhost:8080")
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logger.debug(f"Using taskhub: {taskhub_name}")
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logger.debug(f"Using endpoint: {endpoint_url}")
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credential = None if endpoint_url == "http://localhost:8080" else DefaultAzureCredential()
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dts_client = DurableTaskSchedulerClient(
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host_address=endpoint_url,
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secure_channel=endpoint_url != "http://localhost:8080",
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taskhub=taskhub_name,
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token_credential=credential,
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log_handler=log_handler
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)
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return DurableAIAgentClient(dts_client)
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def run_client(agent_client: DurableAIAgentClient) -> None:
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"""Run client interactions with the Joker agent.
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Args:
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agent_client: The DurableAIAgentClient instance
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"""
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# Get a reference to the Joker agent
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logger.debug("Getting reference to Joker agent...")
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joker = agent_client.get_agent("Joker")
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# Create a new thread for the conversation
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thread = joker.get_new_thread()
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logger.debug(f"Thread ID: {thread.session_id}")
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logger.info("Start chatting with the Joker agent! (Type 'exit' to quit)")
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# Interactive conversation loop
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while True:
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# Get user input
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try:
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user_message = input("You: ").strip()
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except (EOFError, KeyboardInterrupt):
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logger.info("\nExiting...")
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break
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# Check for exit command
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if user_message.lower() == "exit":
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logger.info("Goodbye!")
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break
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# Skip empty messages
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if not user_message:
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continue
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# Send message to agent and get response
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try:
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response = joker.run(user_message, thread=thread)
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logger.info(f"Joker: {response.text} \n")
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except Exception as e:
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logger.error(f"Error getting response: {e}")
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logger.info("Conversation completed.")
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async def main() -> None:
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"""Main entry point for the client application."""
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logger.debug("Starting Durable Task Agent Client...")
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# Create client using helper function
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agent_client = get_client()
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try:
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run_client(agent_client)
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except Exception as e:
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logger.exception(f"Error during agent interaction: {e}")
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finally:
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logger.debug("Client shutting down")
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if __name__ == "__main__":
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asyncio.run(main())
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